Abstract
The main motivation driving the research in collider particle physics is the possibility to address some of the mysteries in the fundamental inner workings of our Universe and to answer to questions left open by the Standard Model of particle physics (SM). Despite the unprecedented energy reached and the large amount of data collected at the Large Hadron Collider (LHC) no convincing evidence of physics beyond the SM has been found. The start of the third LHC data-taking phase (2022) call for novel and unconventional approaches to search for new phenomena, looking in directions yet to be explored. This project proposes to exploit quantum effects, and in particular entanglement among particles as a new observable to probe interactions at high scales. By leveraging on quantum information concepts and techniques, I will explore new experimental strategies to analyse collider final states searching for SM extensions, through unexpected modifications of quantum correlations. The sensitivity of quantum correlations to new physics effects will be investigated both through a model independent effective approach as well as through specific models encompassing new resonances. This proposal aims to provide a first complete guidance and therefore to open the way to LHC experiments on how to perform and interpret measurements of quantum observables in the WW and top pair final states, at low as well at high energy, with specific techniques optimised for each kinematical region. Its ambition lies not only in the scope but also in development of new experimental technique based on charm tagging that has the potential to enlarge the data sample and therefore significantly extend the reach of the new physics searches.
Project details
Unibo Team Leader: Fabio Maltoni
Unibo involved Department/s:
Dipartimento di Fisica e Astronomia "Augusto Righi"
Coordinator:
ALMA MATER STUDIORUM - Università di Bologna(Italy)
Total Eu Contribution: Euro (EUR) 188.590,08
Project Duration in months: 24
Start Date:
01/10/2023
End Date:
30/09/2025
This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101107121